TY - JOUR
T1 - Recent Advances in Computational Methods for Nuclear Magnetic Resonance Data Processing
AU - Gao, Xin
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2013/1/11
Y1 - 2013/1/11
N2 - Although three-dimensional protein structure determination using nuclear magnetic resonance (NMR) spectroscopy is a computationally costly and tedious process that would benefit from advanced computational techniques, it has not garnered much research attention from specialists in bioinformatics and computational biology. In this paper, we review recent advances in computational methods for NMR protein structure determination. We summarize the advantages of and bottlenecks in the existing methods and outline some open problems in the field. We also discuss current trends in NMR technology development and suggest directions for research on future computational methods for NMR.
AB - Although three-dimensional protein structure determination using nuclear magnetic resonance (NMR) spectroscopy is a computationally costly and tedious process that would benefit from advanced computational techniques, it has not garnered much research attention from specialists in bioinformatics and computational biology. In this paper, we review recent advances in computational methods for NMR protein structure determination. We summarize the advantages of and bottlenecks in the existing methods and outline some open problems in the field. We also discuss current trends in NMR technology development and suggest directions for research on future computational methods for NMR.
UR - http://hdl.handle.net/10754/552477
UR - http://linkinghub.elsevier.com/retrieve/pii/S1672022913000028
UR - http://www.scopus.com/inward/record.url?scp=84875379740&partnerID=8YFLogxK
U2 - 10.1016/j.gpb.2012.12.003
DO - 10.1016/j.gpb.2012.12.003
M3 - Article
C2 - 23453016
SN - 1672-0229
VL - 11
SP - 29
EP - 33
JO - Genomics, Proteomics & Bioinformatics
JF - Genomics, Proteomics & Bioinformatics
IS - 1
ER -